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Yulong Wang

Personal Details

First Name:Yulong
Middle Name:
Last Name:Wang
Suffix:
RePEc Short-ID:pwa955
[This author has chosen not to make the email address public]
https://sites.google.com/site/yulongwanghome/
Terminal Degree: Center for Policy Research; Maxwell School; Syracuse University (from RePEc Genealogy)

Affiliation

Department of Economics
Maxwell School
Syracuse University

Syracuse, New York (United States)
http://www.maxwell.syr.edu/econ/
RePEc:edi:desyrus (more details at EDIRC)

Research output

as
Jump to: Working papers Articles Software

Working papers

  1. Yuya Sasaki & Jing Tao & Yulong Wang, 2024. "High-Dimensional Tail Index Regression: with An Application to Text Analyses of Viral Posts in Social Media," Papers 2403.01318, arXiv.org, revised Oct 2024.
  2. Federico A. Bugni & Yulong Wang, 2023. "Inference in Auctions with Many Bidders Using Transaction Prices," Papers 2311.09972, arXiv.org, revised Sep 2024.
  3. Martin Karlsson & Yulong Wang & Nicolas R. Ziebarth, 2023. "Getting the Right Tail Right: Modeling Tails of Health Expenditure Distributions," NBER Working Papers 31444, National Bureau of Economic Research, Inc.
  4. Harold D. Chiang & Yuya Sasaki & Yulong Wang, 2023. "On the Inconsistency of Cluster-Robust Inference and How Subsampling Can Fix It," Papers 2308.10138, arXiv.org, revised Mar 2024.
  5. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.
  6. Yuya Sasaki & Yulong Wang, 2022. "Extreme Changes in Changes," Papers 2211.14870, arXiv.org, revised May 2023.
  7. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Capital and Labor Income Pareto Exponents in the United States, 1916-2019," Papers 2206.04257, arXiv.org.
  8. Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Dec 2022.
  9. Silvia Sarpietro & Yuya Sasaki & Yulong Wang, 2022. "Non-Existent Moments of Earnings Growth," Papers 2203.08014, arXiv.org, revised Feb 2024.
  10. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2021. "Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400," Papers 2105.10007, arXiv.org, revised Sep 2022.
  11. Yoonseok Lee & Yulong Wang, 2020. "Nonparametric Sample Splitting," Center for Policy Research Working Papers 222, Center for Policy Research, Maxwell School, Syracuse University.
  12. Yuya Sasaki & Yulong Wang, 2020. "Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators," Papers 2006.02541, arXiv.org, revised Sep 2020.
  13. William & C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Papers 2006.07780, arXiv.org.
  14. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.
  15. Yulong Wang & Zhijie Xiao, 2020. "Estimation and Inference about Tail Features with Tail Censored Data," Papers 2002.09982, arXiv.org.
  16. Alexis Akira Toda & Yulong Wang, 2019. "Efficient Minimum Distance Estimation of Pareto Exponent from Top Income Shares," Papers 1901.02471, arXiv.org, revised Feb 2020.
  17. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.

Articles

  1. Yuya Sasaki & Yulong Wang, 2024. "Extreme Changes in Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 812-824, April.
  2. Lee, Yoonseok & Wang, Yulong, 2024. "Testing For Homogeneous Thresholds In Threshold Regression Models," Econometric Theory, Cambridge University Press, vol. 40(3), pages 608-651, June.
  3. Lee, Ji Hyung & Sasaki, Yuya & Toda, Alexis Akira & Wang, Yulong, 2024. "Tuning parameter-free nonparametric density estimation from tabulated summary data," Journal of Econometrics, Elsevier, vol. 238(1).
  4. Yuya Sasaki & Yulong Wang, 2023. "Diagnostic Testing of Finite Moment Conditions for the Consistency and Root-N Asymptotic Normality of the GMM and M Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 339-348, April.
  5. Lee, Yoonseok & Wang, Yulong, 2023. "Threshold regression with nonparametric sample splitting," Journal of Econometrics, Elsevier, vol. 235(2), pages 816-842.
  6. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
  7. Yuya Sasaki & Yulong Wang, 2022. "Fixed-k Inference for Conditional Extremal Quantiles," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 829-837, April.
  8. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
  9. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
  10. Müller, Ulrich K. & Wang, Yulong, 2019. "Nearly weighted risk minimal unbiased estimation," Journal of Econometrics, Elsevier, vol. 209(1), pages 18-34.
  11. Ulrich K. Müller & Yulong Wang, 2017. "Fixed- Asymptotic Inference About Tail Properties," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1334-1343, July.
  12. Higgins, J.A. & Wang, Y., 2015. "The Role of Young Adults' Pleasure Attitudes in Shaping Condom Use," American Journal of Public Health, American Public Health Association, vol. 105(7), pages 1329-1332.

Software components

  1. Yuya Sasaki & Yulong Wang, 2023. "ECIC: Stata module to perform estimation and inference for changes in changes at extreme quantiles," Statistical Software Components S459194, Boston College Department of Economics, revised 20 Aug 2023.
  2. Yuya Sasaki & Yulong Wang, 2022. "EXQUANTILE: Stata module for estimation and inference for (conditional) extremal quantiles," Statistical Software Components S459081, Boston College Department of Economics.
  3. Yuya Sasaki & Yulong Wang, 2022. "TESTOUT: Stata module to execute diagnostic testing of outliers," Statistical Software Components S459036, Boston College Department of Economics, revised 10 Jun 2022.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Martin Karlsson & Yulong Wang & Nicolas R. Ziebarth, 2023. "Getting the Right Tail Right: Modeling Tails of Health Expenditure Distributions," NBER Working Papers 31444, National Bureau of Economic Research, Inc.

    Cited by:

    1. Lavetti, Kurt & DeLeire, Thomas C. & Ziebarth, Nicolas R., 2023. "How do low-income enrollees in the affordable care act marketplaces respond to cost sharing?," ZEW Discussion Papers 23-049, ZEW - Leibniz Centre for European Economic Research.
    2. Avdic, Daniel & Decker, Simon & Karlsson, Martin & Salm, Martin, 2024. "No-claim refunds and healthcare use," Journal of Public Economics, Elsevier, vol. 230(C).

  2. Yuya Sasaki & Yulong Wang, 2022. "Extreme Changes in Changes," Papers 2211.14870, arXiv.org, revised May 2023.

    Cited by:

    1. Dalia Ghanem & Sarojini Hirshleifer & D'esir'e K'edagni & Karen Ortiz-Becerra, 2022. "Correcting Attrition Bias using Changes-in-Changes," Papers 2203.12740, arXiv.org, revised Mar 2024.

  3. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Capital and Labor Income Pareto Exponents in the United States, 1916-2019," Papers 2206.04257, arXiv.org.

    Cited by:

    1. Harmenberg, Karl, 2020. "A Simple Theory of Pareto Earnings," Working Papers 21-2020, Copenhagen Business School, Department of Economics.
    2. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2022. "Tuning Parameter-Free Nonparametric Density Estimation from Tabulated Summary Data," Papers 2204.05480, arXiv.org, revised May 2023.

  4. Yuya Sasaki & Yulong Wang, 2022. "Non-Robustness of the Cluster-Robust Inference: with a Proposal of a New Robust Method," Papers 2210.16991, arXiv.org, revised Dec 2022.

    Cited by:

    1. Harold D. Chiang & Yuya Sasaki & Yulong Wang, 2023. "On the Inconsistency of Cluster-Robust Inference and How Subsampling Can Fix It," Papers 2308.10138, arXiv.org, revised Mar 2024.

  5. Yoonseok Lee & Yulong Wang, 2020. "Nonparametric Sample Splitting," Center for Policy Research Working Papers 222, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.

  6. William & C. Horrace & Yulong Wang, 2020. "Nonparametric Tests of Tail Behavior in Stochastic Frontier Models," Papers 2006.07780, arXiv.org.

    Cited by:

    1. Kamil Makieła & Błażej Mazur, 2022. "Model uncertainty and efficiency measurement in stochastic frontier analysis with generalized errors," Journal of Productivity Analysis, Springer, vol. 58(1), pages 35-54, August.
    2. Tsionas, Mike G. & Patel, Pankaj C., 2023. "Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency," International Journal of Production Economics, Elsevier, vol. 260(C).
    3. Jun Cai & William C. Horrace & Christopher F. Parmeter, 2024. "Penalized sieve estimation of zero‐inefficiency stochastic frontiers," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(1), pages 41-65, January.

  7. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.

    Cited by:

    1. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2018. "Inference on winners," CeMMAP working papers CWP73/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Isaiah Andrews & Toru Kitagawa & Adam McCloskey, 2020. "Inference after Estimation of Breaks," CeMMAP working papers CWP34/20, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.

  8. Yulong Wang & Zhijie Xiao, 2020. "Estimation and Inference about Tail Features with Tail Censored Data," Papers 2002.09982, arXiv.org.

    Cited by:

    1. Haowen Bao & Zongwu Cai & Yuying Sun & Shouyang Wang, 2023. "Penalized Model Averaging for High Dimensional Quantile Regressions," WORKING PAPERS SERIES IN THEORETICAL AND APPLIED ECONOMICS 202302, University of Kansas, Department of Economics, revised Jan 2023.

  9. Alexis Akira Toda & Yulong Wang, 2019. "Efficient Minimum Distance Estimation of Pareto Exponent from Top Income Shares," Papers 1901.02471, arXiv.org, revised Feb 2020.

    Cited by:

    1. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    2. Tjeerd de Vries & Alexis Akira Toda, 2021. "Capital and Labor Income Pareto Exponents across Time and Space," LIS Working papers 794, LIS Cross-National Data Center in Luxembourg.
    3. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    4. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2021. "Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400," Papers 2105.10007, arXiv.org, revised Sep 2022.
    5. Rustam Ibragimov & Paul Kattuman & Anton Skrobotov, 2021. "Robust Inference on Income Inequality: $t$-Statistic Based Approaches," Papers 2105.05335, arXiv.org, revised Nov 2021.

  10. Yoonseok Lee & Yulong Wang, 2019. "Threshold Regression with Nonparametric Sample Splitting," Papers 1905.13140, arXiv.org, revised Jan 2021.

    Cited by:

    1. Yoonseok Lee & Yulong Wang, 2020. "Inference in Threshold Models," Center for Policy Research Working Papers 223, Center for Policy Research, Maxwell School, Syracuse University.
    2. Seo, Myung Hwan & Koo, Bonsoo & Yang, Yangzhuoran Fin, 2024. "Nonlinear dynamics of Kimchi premium," Economic Modelling, Elsevier, vol. 135(C).

Articles

  1. Yuya Sasaki & Yulong Wang, 2024. "Extreme Changes in Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 812-824, April.
    See citations under working paper version above.
  2. Yuya Sasaki & Yulong Wang, 2023. "Diagnostic Testing of Finite Moment Conditions for the Consistency and Root-N Asymptotic Normality of the GMM and M Estimators," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 41(2), pages 339-348, April.

    Cited by:

    1. Jean-Jacques Forneron, 2023. "Occasionally Misspecified," Papers 2312.05342, arXiv.org.
    2. Virginia Blanco-Mazagatos & M. Elena Romero-Merino & Marcos Santamaría-Mariscal & Juan Bautista Delgado-García, 2024. "One more piece of the family firm debt puzzle: the influence of socioemotional wealth dimensions," Small Business Economics, Springer, vol. 63(2), pages 831-849, August.

  3. Lee, Yoonseok & Wang, Yulong, 2023. "Threshold regression with nonparametric sample splitting," Journal of Econometrics, Elsevier, vol. 235(2), pages 816-842.
    See citations under working paper version above.
  4. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    See citations under working paper version above.
  5. Yuya Sasaki & Yulong Wang, 2022. "Fixed-k Inference for Conditional Extremal Quantiles," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 829-837, April.

    Cited by:

    1. Hou, Yanxi & Leng, Xuan & Peng, Liang & Zhou, Yinggang, 2024. "Panel quantile regression for extreme risk," Journal of Econometrics, Elsevier, vol. 240(1).
    2. Nicolau, João & Rodrigues, Paulo M.M. & Stoykov, Marian Z., 2023. "Tail index estimation in the presence of covariates: Stock returns’ tail risk dynamics," Journal of Econometrics, Elsevier, vol. 235(2), pages 2266-2284.
    3. Yuya Sasaki & Yulong Wang, 2024. "Extreme Changes in Changes," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 42(2), pages 812-824, April.

  6. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    See citations under working paper version above.
  7. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    See citations under working paper version above.
  8. Müller, Ulrich K. & Wang, Yulong, 2019. "Nearly weighted risk minimal unbiased estimation," Journal of Econometrics, Elsevier, vol. 209(1), pages 18-34.

    Cited by:

    1. Timothy Armstrong & Patrick M. Kline & Liyang Sun, 2024. "Adapting to Misspecification," NBER Working Papers 32906, National Bureau of Economic Research, Inc.
    2. Isaiah Andrews & Timothy B. Armstrong, 2015. "Unbiased Instrumental Variables Estimation under Known First-Stage Sign," Cowles Foundation Discussion Papers 1984R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2015.
    3. Ulrich K. Müller & Mark W. Watson, 2021. "Spatial Correlation Robust Inference," Working Papers 2021-61, Princeton University. Economics Department..
    4. Tetsuya Kaji, 2019. "Theory of Weak Identification in Semiparametric Models," Papers 1908.10478, arXiv.org, revised Aug 2020.
    5. Chenchuan (Mark) Li & Ulrich K. Müller, 2021. "Linear regression with many controls of limited explanatory power," Quantitative Economics, Econometric Society, vol. 12(2), pages 405-442, May.
    6. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    7. Isaiah Andrews & Maximilian Kasy, 2017. "Identification of and correction for publication bias," Papers 1711.10527, arXiv.org.
    8. Ulrich K. Müller & Mark W. Watson, 2022. "Spatial Correlation Robust Inference," Econometrica, Econometric Society, vol. 90(6), pages 2901-2935, November.
    9. Kline, Patrick & Walters, Christopher, 2019. "Audits as Evidence: Experiments, Ensembles, and Enforcement," Institute for Research on Labor and Employment, Working Paper Series qt3z72m9kn, Institute of Industrial Relations, UC Berkeley.
    10. Hirano, Keisuke & Wright, Jonathan H., 2022. "Analyzing cross-validation for forecasting with structural instability," Journal of Econometrics, Elsevier, vol. 226(1), pages 139-154.
    11. Tetsuya Kaji, 2021. "Theory of Weak Identification in Semiparametric Models," Econometrica, Econometric Society, vol. 89(2), pages 733-763, March.

  9. Ulrich K. Müller & Yulong Wang, 2017. "Fixed- Asymptotic Inference About Tail Properties," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 1334-1343, July.

    Cited by:

    1. Igor Fedotenkov, 2020. "A Review of More than One Hundred Pareto-Tail Index Estimators," Statistica, Department of Statistics, University of Bologna, vol. 80(3), pages 245-299.
    2. Wang, Yulong & Xiao, Zhijie, 2022. "Estimation and inference about tail features with tail censored data," Journal of Econometrics, Elsevier, vol. 230(2), pages 363-387.
    3. Khan, Shakeeb & Nekipelov, Denis, 2024. "On uniform inference in nonlinear models with endogeneity," Journal of Econometrics, Elsevier, vol. 240(2).
    4. Yuya Sasaki & Yulong Wang, 2022. "Fixed-k Inference for Conditional Extremal Quantiles," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(2), pages 829-837, April.
    5. Shakeeb Khan & Denis Nekipelov, 2019. "On Uniform Inference in Nonlinear Models with Endogeneity," Boston College Working Papers in Economics 986, Boston College Department of Economics.
    6. Alexis Akira Toda & Yulong Wang, 2021. "Efficient minimum distance estimation of Pareto exponent from top income shares," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 36(2), pages 228-243, March.
    7. Vladislav Morozov, 2022. "Inference on Extreme Quantiles of Unobserved Individual Heterogeneity," Papers 2210.08524, arXiv.org, revised Jun 2023.
    8. William C. Horrace & Yulong Wang, 2022. "Nonparametric tests of tail behavior in stochastic frontier models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 537-562, April.
    9. Yuya Sasaki & Yulong Wang, 2020. "Testing Finite Moment Conditions for the Consistency and the Root-N Asymptotic Normality of the GMM and M Estimators," Papers 2006.02541, arXiv.org, revised Sep 2020.
    10. Ji Hyung Lee & Yuya Sasaki & Alexis Akira Toda & Yulong Wang, 2021. "Fixed-k Tail Regression: New Evidence on Tax and Wealth Inequality from Forbes 400," Papers 2105.10007, arXiv.org, revised Sep 2022.
    11. Ulrich K. Müller, 2020. "A More Robust t-Test," Working Papers 2020-32, Princeton University. Economics Department..
    12. Walter Distaso & Rustam Ibragimov & Alexander Semenov & Anton Skrobotov, 2020. "COVID-19: Tail Risk and Predictive Regressions," Papers 2009.02486, arXiv.org, revised Oct 2021.
    13. Ulrich K. Mueller, 2020. "A More Robust t-Test," Papers 2007.07065, arXiv.org.

  10. Higgins, J.A. & Wang, Y., 2015. "The Role of Young Adults' Pleasure Attitudes in Shaping Condom Use," American Journal of Public Health, American Public Health Association, vol. 105(7), pages 1329-1332.

    Cited by:

    1. Ijeoma Opara & Jasmine A. Abrams & Kristina Cross & Ndidiamaka Amutah-Onukagha, 2021. "Reframing Sexual Health for Black Girls and Women in HIV/STI Prevention Work: Highlighting the Role of Identity and Interpersonal Relationships," IJERPH, MDPI, vol. 18(22), pages 1-14, November.
    2. Karra, Mahesh & Wilde, Joshua, 2023. "Economic Foundations of Contraceptive Transitions: Theories and a Review of the Evidence," IZA Discussion Papers 15889, Institute of Labor Economics (IZA).

Software components

    Sorry, no citations of software components recorded.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 20 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-ECM: Econometrics (13) 2019-01-21 2019-06-10 2020-02-03 2020-03-23 2020-06-29 2020-07-13 2022-05-16 2022-12-05 2023-01-09 2023-08-14 2023-10-02 2023-12-18 2024-04-01. Author is listed
  2. NEP-ORE: Operations Research (5) 2020-02-03 2020-02-03 2020-04-13 2020-07-13 2020-07-27. Author is listed
  3. NEP-RMG: Risk Management (5) 2020-03-23 2020-04-13 2020-07-13 2022-05-02 2023-12-11. Author is listed
  4. NEP-HEA: Health Economics (2) 2023-08-14 2023-12-11
  5. NEP-PUB: Public Finance (2) 2021-05-31 2022-08-08
  6. NEP-COM: Industrial Competition (1) 2023-12-18
  7. NEP-ETS: Econometric Time Series (1) 2020-02-03
  8. NEP-FDG: Financial Development and Growth (1) 2022-08-08
  9. NEP-GTH: Game Theory (1) 2023-12-18
  10. NEP-PAY: Payment Systems and Financial Technology (1) 2024-04-01
  11. NEP-PBE: Public Economics (1) 2021-05-31
  12. NEP-UPT: Utility Models and Prospect Theory (1) 2023-12-18

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